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Festival of Data & AI Technology

In-Person Sessions and Workshops
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GoDataFest, festival of Data & AI technology 

 

in-person, coming soon

 

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GoDataFest (coming soon) brings together conversations about the latest data technology into an event experience and will take place in Amsterdam, Wibautstraat 202, 1091 GS.

Engage with product specialists and experienced practitioners of leading tech. Learn from the experiences of industry-leading enterprises.

GoDataFest is proudly powered by Xebia Data

 

Xebia Data - godatafest

Get ready for GoDataFest

N Days
O Hours
W Minutes

Expert sessions to celebrate data technology

GoDataFest features a multitude of sessions focused on various data & AI technologies and platforms.

From fireside chats and presentations to ask-me-anything sessions and/or workshops, each session is hosted by seasoned experts.

Covering a wide variety of innovations

You can expect insights, developments, and tutorials about the latest and greatest data technology.

Topics include modern data platforms, analytics engineering, data democratization, AI, MLOps,  pipeline orchestration, and much, much more.

Develop your hands-on skills during workshops

During the workshops you can go hands-on with tools and techniques that will make you a better data professional.

Conference Partners

Scheduled Sessions

  • 24 oct
  • 25 oct
  • 26 oct
  • 27 oct
9:30 am - 10:15 am

Keynote: Democratize Data Analytics With No-Code and GenAI With AWS

Use Low code/no code tools and generative AI capabilities from AWS to enable your users be proactive on data analytics endeavours. The session will explore recent announcements on CodeWhisperer integration in Glue and Quicksight Generative BI to create end to end analytics easily for all users in your organization.
9:30 am Democratize Data Analytics With No-Code and Genai With AWS
Host: Caio Benatti Moretti
Guests: Federico Bianchi, Daniel Rozo
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10:15 am - 11:00 am

Keynote: Connecting the Data Dots Governance, Data Zones

Learn how organizations can apply AWS analytics services to discover, access, and share their data across organizational boundaries
10:15 am Connecting the Data Dots Governance, Data Zones
Host: Caio Benatti Moretti
Guests: Luis Campos
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11:00 am - 11:45 am

Project Picard: Logistics Will Be Simulated. Resistance Is Futile

We auction and distribute millions of plants and flowers every day at Royal FloraHolland. The plants and flowers enter our building, they are being auctioned, and then need to be distributed to the buyers. Part of this distribution is an orderpicking proces. This is a key step which we are continuously looking to improve and optimize, but it is very costly to make and test changes in a live environment. This is why we started building a simulator which mimics our workforce, our buildings, and our IT systems.
11:00 am Project Picard: Logistics will be Simulated. Resistance is futile.
Host: Caio Benatti Moretti
Guests: Dirk Guijt, Daniël Tom
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11:45 am - 12:30 pm

How MLOps Accelerates Ml-Model Teams at TMNL

TMNL is fighting money laundering at an unprecedented scale, supported by machine learning models. To ensure reliable model development and deployment in a highly secured environment, TMNL built an MLOps platform on top of Amazon SageMaker.
11:45 am How MLOps Accelerates Ml-Model Teams at TMNL
Host: Caio Benatti Moretti
Guests: Axel Goblet, Joost Bosman
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1:00 pm - 1:45 pm

How to Create an Engaging Mlops Platform Using Kubernetes, Open Source and Golden Paths

Even with an explosion in tooling, building a scalable and reliable machine learning platform with open-source technology can be quite a challenge. But beside this technical puzzle lies an even bigger challenge: how do you engage your end-users and make sure they actually want to use your platform?
1:00 pm How to Create an Engaging Mlops Platform Using Kubernetes, Open Source and Golden Paths
Host: Caio Benatti Moretti
Guests: Julian de Ruiter, Mariano Schmidt
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1:45 pm - 2:30 pm

Educating Medical Students on Applications of AI in Healthcare

The AIIS education program is an EU project aimed at educating medical students about applications of Artificial Intelligence (AI) in the healthcare sector and improving their soft skills. It is a significant step forward in fostering a future workforce equipped with the skills and knowledge to use AI in the healthcare sector. The program was created to give students hands-on experience developing AI models for real-world problems.
1:45 pm Educating Medical Students on Applications of AI in Healthcare
Host: Caio Benatti Moretti
Guests: James Hayward
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2:30 pm - 3:15 pm

Dataset Enrichment Using LLM’s

Onboard the LLM hype-train! 🚂 Are you curious about what LLM's (Large Language Models) can do for you? One of their use cases is to enrich datasets, by converting text into structured data. This can have huge benefits. Useful facts that were previously hidden inside a large piece of text can now be unveiled, allowing you to more accurately filter and query your data.
2:30 pm Dataset Enrichment using LLM's
Host: Caio Benatti Moretti
Guests: Jeroen Overschie
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3:45 pm - 4:30 pm

Assess the Value and Feasibility of Llm Use Cases With a Checklist

Have you ever had someone suggest "ohhh we could use LLMs for that?" And you knew the idea had some pain points...but you couldn't put your finger on the sore point? Hopefully my little checklist can help you out. In this talk I will introduce a simple tool for assessing the value and feasibility of an LLM use case. It will make it easier to discuss these. It's not rocket science, but it does help when discussing use cases with stakeholders of different experience levels.
3:45 pm Assess the Value and Feasibility of Llm Use Cases With a Checklist
Host: Caio Benatti Moretti
Guests: Rens Dimmendaal, Eva Bosma
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4:30 pm - 5:15 pm

Data Privacy Challenges in Real World LLM Applications

Do you and your business want to make use of the power LLMs have to offer, but are hesitant about exposing your data or business information to an LLM provider? Then this talk’s for you!We’ll discuss the challenges surrounding data privacy when dealing with LLMs.
4:30 pm Data Privacy Challenges in Real World LLM Applications
Host: Caio Benatti Moretti
Guests: Yke Rusticus, Marysia Winkels
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9:30 am - 11:00 am

FREE WORKSHOP: Machine Learning with Graph Networks – limited seats available

In this workshop, participants will dive into the world of graph-based machine learning using the powerful GraphFrames library in Apache Spark. The session will focus on leveraging spatial information to enhance predictive modeling tasks. Attendees will learn how to represent and analyze data as graphs, incorporating spatial relationships to extract valuable insights for machine learning. ATTENTION! If you are joining the entire week or Wednesday only, please indicate if you will also be joining the workshops on Wednesday morning as we have limited space.
9:30 am Machine Learning with Graph Networks
Host: Kiki Boonen
Guests: Usman Zafar
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11:00 am - 12:30 pm

FREE WORKSHOP: ML System Design – Limited Seats Available

Are you a machine learning practitioner struggling with designing, reasoning, and communicating about ML systems? Then this session is for you! With the industry moving towards end-to-end ML teams to enable them to implement MLOps practices, it is paramount for you to understand ML from a systems perspective. In this hands-on session, you will gain a thorough understanding of the technical intricacies of designing valuable, reliable and scalable ML systems.
11:00 am ML System Design – Limited Seats Available
Host: Kiki Boonen
Guests: Roy van Santen
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1:00 pm - 1:45 pm

Keynote: Breaking Barriers Between Data Engineers, Data Analysts and Data Scientists

In this session we will take a look at how capabilities on Google Data Cloud help to blend the roles of data engineer, data scientist and data analyst. With more empowered users comes more efficiency, less dependencies and faster time to production.
1:00 pm Breaking Barriers Between Data Engineers, Data Analysts and Data Scientists
Host: Kiki Boonen
Guests: Peter Bavinck
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1:45 pm - 2:30 pm

FundaGPT: how I leveraged LLMs to fully automate the search for a house using langchain, GCP and OpenAI

During this talk, we will dive deeper how Langchain’s GenAI Agents are used to achieve this. We will take a brief look at theoretical concepts, and how they are implemented in the Langchain framework. What are these agents, and what are common challenges during development? Moreover, how can you cost-effectively deploy them in GCP? By using a combination of Cloud PubSub, Cloud Functions, Datastore, Terraform and Langchain, we will show how this personal broker can be deployed in no-time, at minimal cost. This talk aims to get you started with writing your own agents, such that you can use them to automate all kinds of tasks!
1:45 pm FundaGPT: how I leveraged LLMs to fully automate the search for a house using langchain, GCP and OpenAI
Host: Kiki Boonen
Guests: Sander van Donkelaar
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2:30 pm - 3:15 pm

From MLOps to LLMOps. Successfully Navigating the GenAI Boom

In this session, I will explore Mollie’s journey through the GenAI boom. We initiated our Machine Learning (ML) Platform journey over a year ago, guided by Xebia’s experts.
2:30 pm From MLOps to LLMOps. Successfully Navigating the GenAI Boom
Host: Kiki Boonen
Guests: Wessel Huising
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9:30 am - 10:00 am

Keynote: Generation AI

Discover what’s driving so much focus on data and why data professionals are zeroing in on new ways to tackle their database challenges. Learn why there is so much interest in LLMs, what is happening across the data, analytics and AI landscape, and the future of the market. Take a look at the larger universe that the lakehouse lives inside of, learn what’s new, and explore the evolution with us.
9:30 am Keynote: Generation AI
Host: Manolis Manousogiannis
Guests: Stefan van Wouw
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10:00 am - 10:45 am

A Technical Deep Dive into Unity Catalog’s Practitioner Playbook

Get ready to take a deep dive into Unity Catalog and explore how it can simplify data, analytics and AI governance across multiple clouds.
10:00 am A Technical Deep Dive into Unity Catalog's Practitioner Playbook
Host: Manolis Manousogiannis
Guests: Kamalendu Biswas
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10:45 am - 11:30 am

Delta Live Tables A to Z: Best Practices for Modern Data Pipelines

Join Databricks for a technical deep dive into how Delta Live Tables (DLT) reduces the complexity of data transformation and ETL.
10:45 am Delta Live Tables A to Z: Best Practices for Modern Data Pipelines
Host: Manolis Manousogiannis
Guests: Kivanc Urgancioglu
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11:30 am - 12:15 am

Return to Data’s Inferno: Are the 7 Layers of Data Testing Hell Still Relevant?

Back in 2018, a blogpost titled "Data's Inferno: 7 circles of data testing hell with Airflow" presented a layered approach to data quality checks in data applications and pipelines. Now, 5 years later, this talk looks back at Data's Inferno and surveys what has changed but also what hasn't in the space of ensuring high data quality.
11:30 am Return to Data’s Inferno: Are the 7 Layers of Data Testing Hell Still Relevant?
Host: Manolis Manousogiannis
Guests: Daniel van der Ende
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1:00 pm - 1:45 pm

Providing end-to-end data value chain with open-source dbt-based DP Framework

From low-value inputs into high-value outputs - data value chain describes the full data lifecycle from collection to analysis and usage… and it’s not all about data transformation. We’ll show you how our open-source dbt-based DP Framework has a goal to support the whole process in the spirit of data democratization, in a portable way to many of infrastructure choices and clouds.
1:00 pm Providing end-to-end data value chain with open-source dbt-based DP Framework
Host: Manolis Manousogiannis
Guests: Michał Rudko
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1:45 pm - 2:30 pm

Analytics Platforms, From On-Premises Hadoop to Azure Cloud

Rabobank Nederland has been investing in advanced analytics for quit some years now. It all started with a small on premises Hadoop cluster and has grown to a flexible and future proof Azure based cloud analytics platform . We will take you on the journey of how Rabobank changed their platforms into One!Lab
1:45 pm Analytics Platforms, From On-Premises Hadoop to Azure Cloud
Host: Manolis Manousogiannis
Guests: Alexander Bij, Stef de Moor
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2:30 pm - 3:15 pm

Leveraging ML Forecasting to Enhance the Stability of the Energy Grid

Join us as we explore the complexities of balancing the electricity grid amidst the rise of renewable energy sources. We’ll discover the challenges in forecasting electricity consumption from diverse industrial resources and the modelling techniques employed by Sympower to achieve accurate forecasts.
2:30 pm Leveraging ML Forecasting to Enhance the Stability of the Energy Grid
Host: Kiki Boonen
Guests: Wouter Feil, Oliver Ford
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9:30 am - 10:00 am

Storytelling Through Data

Tired of getting people tired? In this talk, we will discuss how storytelling techniques can help you keep people awake and interested during your data talks. We will go beyond the usual visualisation tips into specific story tricks to explain technical concepts.
9:30 am Storytelling Through Data
Host: Eva Bosma
Guests: Juan Venegas
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10:00 am - 10:45 am

How Data Management and a Data Catalog Will Help You Become a Data Driven Organization

Data Management and governance is gaining traction in our industry, as many companies find themselves struggling with their ambitions to become data driven, the complexity of their landscape and the requirements from internal and external regulators. At Transavia we’ve chosen for a use case driven approach to implementing Data Management. Providing value in each use case we do, and contributing to the bigger picture simultaneously. Furthermore this talk will go into the role of the Data Catalog, and explain how this technology supports these Data Management practices.
10:00 am How Data Management and a Data Catalog Will Help You Become a Data Driven Organization
Host: Eva Bosma
Guests: Peter Kromhout, Niels van den Broek
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10:45 am - 11:30 am

Dairy to Data: 7 Lessons From Building a Data Product in 6 Months

Building data products is hard. Especially in an intricate topic like dairy trading. How do you deal with short timelines, scattered data, numerous business rules, and changing requirements?
10:45 am Dairy to Data: 7 Lessons From Building a Data Product in 6 Months
Host: Eva Bosma
Guests: Henk Griffioen, Romy van Gils
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11:30 am - 12:15 pm

Data Analytics in the Post-Big-Data Era

We'll delve into DuckDB, an open-source embedded database, exploring its key features and its relevance in today's data landscape. And if there's ever a need to scale DuckDB? That's when MotherDuck steps in. We'll also highlight how it operates and its primary features.
11:30 am Data Analytics in the Post-Big-Data Era
Host: Eva Bosma
Guests: Till Döhmen
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1:00 pm - 1:45 pm

Democratize Information With LLMs

Can LLMs help us democratize the information we possess? If so, in what ways? In this talk I am going to share with you my attempts of using GPT to create new ways of interacting with information that were not possible before, both in structured and unstructured formats.
1:00 pm Democratize Information With LLMs
Host: Eva Bosma
Guests: Erkan Celen
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1:45 pm - 2:30 pm

How to Set-up Your CI/CD Pipeline With dbt

This talk will be your ultimate guide to automating your analytics engineering workflow with a Continuous Integration/Continuous Deployment (CI/CD) pipeline.
1:45 pm How to Set-up Your CI/CD Pipeline With dbt
Host: Eva Bosma
Guests: Maurice Veltman
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2:30 pm - 3:15 pm

Achieve 10x Productivity: Becoming an AI-Powered Developer

AI is becoming more powerful everyday and is changing the way we work. Developers who use AI in their development workflow are way more productive and efficient compared to developers who don't. We’re at a point where ignoring this is no longer an option. So, let’s look at how we can use AI in the best way to be more productive!
2:30 pm Achieve 10x Productivity: Becoming an AI-Powered Developer
Host: Eva Bosma
Guests: Thijs Limmen
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Scheduled Workshops

Meet our speakers

Each day we cover a wide variety of topics on various themes and technologies. Sessions can only be attended in-person.

Till Döhmen Software Engineer MotherDuck
Michał Rudko Data Architect GetInData | Part of Xebia
Thijs Limmen DevOps Engineer Xebia | Xpirit
Stefan van Wouw Senior Manager, Solutions Architects Databricks
Kamalendu Biswas Solutions Architect Databricks
Kivanc Urgancioglu Sr. Solutions Architect Databricks
Stef de Moor Product Manager Rabobank
Romy van Gils Commercial Process Information Manager Interfood
Peter Bavinck Customer Engineer Google Cloud
Oliver Ford Machine Learning Engineer Sympower
Wouter Feil Product Manager Data Sympower
Henk Griffioen Principal Data Scientist Xebia Data
Niels van den Broek Architecture Lead Transavia
Kiki Boonen Consultant Xebia | Data
Manolis Manousogiannis Data Engineer Xebia | Data
Yke Rusticus Machine Learning Engineer Xebia | Data
Mariano Schmidt Machine Learning Engineer Adevinta
Daniel van der Ende Data Engineer Xebia | Data
Daniël Tom Data Engineer Xebia | Data
Julian de Ruiter Principal Machine Learning Engineer Xebia | Data
Alexander Bij Data Engineer Xebia | Data
Peter Kromhout Data Architect / Principal Consultant Xebia | Data
Wessel Huising Machine Learning Engineer Mollie
Federico Bianchi Senior Solutions Architect AWS
Daniel Rozo Senior Solutions Architect AWS
Luis Campos Data Modernisation Lead, EMEA AWS
Dirk Guijt Lead Data Scientist Royal FloraHolland
Erkan Celen Analytics Engineer Xebia
Usman Zafar Machine Learning Engineer Xebia | Data
Dumky de Wilde Analytics Engineer Xebia | Data
James Hayward AI & Data Scientist Xebia | Data
Juan Venegas Content Writer Xebia | Data
Maurice Veltman Principal Analytics Engineer Xebia | Data
Joost Bosman Machine Learning Engineer Xebia | Data
Thom van Engelenburg Analytics Engineer Xebia | Data
Krzysztof Zarzycki CTO and Co-Founder GetInData | Part of Xebia
Axel Goblet Senior ML Engineer TMNL
Rens Dimmendaal Principal Data Scientist Xebia | Data
Eva Bosma Data Strategist Xebia | Data
Caio Benatti Moretti Data Science Consultant Xebia | Data
Roy van Santen Machine Learning Engineer Xebia | Data
Jeroen Overschie Machine Learning Engineer Xebia | Data
Sander van Donkelaar Machine Learning Engineer Xebia
Marysia Winkels Data Scientist Xebia | Data

Frequently Asked Questions

For whom is GoDataFest?
GoDataFest is for anyone with an interest in data technology. Be it strategic and organizational, operational and practical, or simply a general interest. Sessions are scheduled around themes, so that you can create your own custom schedule.
When and where does GoDataFest take place?
The event is planned for 2025 in Amsterdam, The Netherlands.
Is the registration free of of charge?
No, we take micropayments from attendees to increase the participation rate and reduce food waste.
Is it ok to attend more than one session?
Yes absolutely, you are more than welcome to join the event all three days.

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